Laurent Ach @ach3d
CTO, leveraging artificial and human intelligence @ https://t.co/S7FTM8wYNA - https://t.co/x8nrqGm8Lw ach3d.medium.com Paris, France Joined May 2009-
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@FigaroVox @Aurelie_JEAN @Aurelie_JEAN, il ne faut pas trop écouter Dario Amodei qui est, parmi les dirigeants des entreprises d'IA, celui qui laisse le plus de place à l'éventualité d'une conscience des machines
If you ever feel like you're late to the game, consider that in the 1890s many scientists thought physics as a field was completely solved (quote below is from Albert Michelson in 1894). On the front of intelligence science, it feels more like the 1870s. For the first time we have something that is starting to really work (however primitive it may be), which we can use as a springboard for the next few decades of discoveries.
@babgi Ce sont aussi des travaux qui amènent une perspective très intéressante sur l’apparition des émotions et de la conscience à partir de l’évolution du vivant et pas à partir du traitement de l’information. C’est si évident quand on lit Antonio Damasio.
Stéphane Mallat nous fait avancer dans la compréhension théorique des modèles de réseaux de neurones, avec rigueur et modestie, et une vision passionnante et intelligente de l'IA qui se démarque de ce dont on se contente souvent dans la tech
En alliant abstraction théorique et retombées concrètes, Stéphane Mallat, lauréat 2025 de la médaille d’or du CNRS, a marqué de son empreinte les mathématiques appliquées à l’informatique. Du format de compression d’images JPEG 2000 aux fondements ... lejournal.cnrs.fr/articles/steph…
This corresponds to the limits of combining symbolic and connectionist approaches, where it's impossible to create an ontology of the whole world and it's impossible to automatically generate all the explicit concepts we need for reasoning.
World models are clearly missing in current LLMs as @ylecun says but it’s unclear how future model architectures will balance useful emergent representations of the world with explicit concepts that are understandable to humans. techcrunch.com/2025/01/23/met…
I suspect there is a Heisenberg-like law that limits how explicit concepts can be and how many can be used.
Interesting that Adam Brown anticipates LLMs will have Einstein-level intelligence in 10 years, but explains that at the moment physicists (like most of us) mainly use LLMs to search for and explain information and theories that are well known in the literature
New episode w Adam Brown, a lead of Blueshift at DeepMind & theoretical physicist at Stanford. Stupefying, terrifying, & absolutely fascinating. On destroying the light cone with vacuum decay, mining black holes, holographic principle, & path to LLMs which make Einsteinian
Excellent thread by @fchollet about the performances of the new model by OpenAI on ARC-AGI. Evaluation dataset creation is an interesting challenge and is also a never-ending task: my guess is that we will always be able to design problems easy for humans and hard for machines.
Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks. It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task
Tester l'intégration d'IA générative par Qwant dans ses résultats de recherche - résumés de réponses, réponses détaillées, toujours en citant les sources d'information
✨ L’IA DE QWANT EST EN OPEN WEEK ✨ Notre IA est disponible à toutes et tous pendant une semaine ! Plus besoin d’avoir un compte (même si c’est gratuit 👀) pour l’utiliser. Elle répond à toutes vos questions et requêtes en un clin d’oeil. Plus d’excuses pour tester ;)
"Information is a matter of questions and answers, it's not an objective thing, information doesn't just sit there." ... "it entails a relationship between a subject and an object", brilliant remarks by @Mark_Solms youtu.be/meUtWtY00H8?fe…
@rheimann Good analysis, but you ignore an argument I’ve sometimes heard, that our mind also does something like predicting the next word in a sentence, and so we could expect LLMs to have some intelligence similar to ours. The toughest arguments are often the most reductionist.
Intéressante discussion comme toujours avec @JeromeColombain, sur les limites de l’IA, dans le cas du développement logiciel
🚀 Nouvel épisode de "Monde Numérique" ! 🎙️ L'IA va-t-elle remplacer les développeurs ? Pas demain la veille, selon Laurent Ach @ach3d 🤖💡 #MondeNumérique #IA #Tech smartlink.ausha.co/monde-numeriqu…
Interesting thoughts on why A.I. isn’t going to make art newyorker.com/culture/the-we…
I had the pleasure participate in an interesting talk with @jonsvt and @brucel, about developing technologies like web search engines and web browsers in Europe
🎙️ On a réalisé un petit podcast avec nos amis de chez @vivaldibrowser ! Notre CTO, @ach3d et Jon von Tetzchner, CEO chez Vivaldi, discutent de la manière dont il est possible de concevoir des technos respectueuses de la vie privée en ligne 🔐 youtu.be/EGaNjCLIH-k?si…
OSI now defines what open-source AI is, information about the training data should be provided technologyreview.com/2024/08/22/109…
Interesting thoughts on the Turing test by @MelMitchell1 science.org/doi/10.1126/sc… It was once believed that beating a human at chess required general intelligence. The story goes on with AI mastering one task after another, without any intelligence
"Attempts to erase and devalue the most humane parts of our existence are nothing new; AI is just a new excuse to do it.” Great thoughts by @ShannonVallor on the usual comment "You don’t think that your brain is a machine?" this time by Yoshua Bengio noemamag.com/the-danger-of-…
@ylecun information and computation are related to models of the world that can only exist at some particular scales in particular scientific and philosophical contexts. It’s naive to think that we can come up with a model that would explain everything.
As usual, @fchollet gives the clearest and most synthetic explanations about the capabilities of LLM. Everything is said, really!
The question of whether LLMs can reason is, in many ways, the wrong question. The more interesting question is whether they are limited to memorization / interpolative retrieval, or whether they can adapt to novelty beyond what they know. (They can't, at least until you start
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